Smart Solutions for Detecting, Predicting, Monitoring, and Managing Dementia in the Elderly: A Survey-Reference-Cited by-同舟云学术

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Smart Solutions for Detecting, Predicting, Monitoring, and Managing Dementia in the Elderly: A Survey

Published:2024 Issue: Volume:12 Page:100026-100056
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Addae Sampson¹^ORCID,Kim Jungyoon¹^ORCID,Smith Arthur¹,Rajana Priyanka²^ORCID,Kang Misun³^ORCID

Affiliation:

1. Department of Computer Science, Kent State University, Kent, OH, USA

2. Department of Software Convergence, Soonchunhyang University, Asan-si, Chungcheongnam-do, Republic of Korea

3. Department of Computer Software Engineering, Soonchunhyang University, Asan-si, Chungcheongnam-do, Republic of Korea

Funder

Soonchunhyang University Research Fund, and the National Research Foundation of Korea grant

Korean Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10580901.pdf?arnumber=10580901

Reference115 articles.

1. World Alzheimer report 2021: Journey through the diagnosis of dementia;Gauthier,2021

2. 2023 Alzheimer's disease facts and figures

3. World Alzheimer’s report 2015, the global impact of dementia: An analysis of prevalence, incidence, cost and trends;Prince,2015

4. Potential for primary prevention of Alzheimer's disease: an analysis of population-based data

5. Preventable risk factors of dementia: Population attributable fractions in a Brazilian population-based study

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